A Knowledge-based Master-model Approach with Application to Rotating Machinery Design

Document type: Journal Articles
Article type: Original article
Peer reviewed: Yes
Author(s): Marcus Sandberg, Ilya Tyapin, Michael Kokkolaras, Ola Isaksson, Jan-Olof Aidanpää, Tobias Larsson
Title: A Knowledge-based Master-model Approach with Application to Rotating Machinery Design
Journal: Concurrent Engineering: Research and Applications
Year: 2011
Volume: 19
Issue: 4
Pagination: 295-305
ISSN: 1063-293X
Publisher: Sage Publications
URI/DOI: 10.1177/1063293X11424511
ISI number: 000297701300003
Organization: Blekinge Institute of Technology
Department: School of Engineering - Dept. of Mechanical Engineering (Sektionen för ingenjörsvetenskap - avd. för maskinteknik)
School of Engineering S- 371 79 Karlskrona, School of Engineering S- 371 79 Karlskrona
+46 455 38 50 00
Authors e-mail: tobias.larsson@bth.se
Language: English
Abstract: Novel rotating machinery design concepts and architectures are being explored to reduce mass, energy consumption, manufacturing costs, and environmental impact while increasing performance. As component manufacturers supply parts to original equipment manufacturers, it is desirable to design the components using a systems approach so that they are optimized for system-level performance. To accomplish that, suppliers must be able to model and predict the behavior of the whole machinery. Traditional computer-aided design/computer-aided engineering master-modeling approaches enable manual changes to be propagated to linked models. Novel knowledge-based master-modeling approaches enable automated coordination of multidisciplinary analyses. In this article, we present a specific implementation of such a knowledge-based master-modeling approach that facilitates multidisciplinary design optimization of rotating machinery. The master-model (MM) approach promotes the existence of a single governing version of the product definition as well as operating scenarios. Rules, scripts, and macros link the MM to domain-specific models. A simple yet illustrative industry application is presented, where rotor-dynamics and displacement analyses are performed to evaluate relocation alternatives for the rear bearing position of a rotating machinery under a ‘fan-blade-off’ load case.
Subject: Mechanical Engineering\General
Mechanical Engineering\Structural Dynamics
Mechanical Engineering\Structural Mechanics
Keywords: rotating machinery, knowledge-based engineering, master-models, multidisciplinary analysis and design optimization